Artificial Intelligence Engineer

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Experience Level:

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About the Role

AI Engineer

strong programming skills (Python/SQL)

Key Responsibilities

AI Agent Development

o  Build and fine-tune AI agents for query handling, data analysis, and workflow automation. 

o  Integrate LLMs (OpenAI, Llama, Mistral, etc.) into business applications. 

Data Engineering & Pipelines

o  Develop ETL workflows to connect APIs, databases, and external data sources. 

o  Work with vector databases (Weaviate, Pinecone, Milvus) for knowledge retrieval. 

Modeling & Analytics

o  Train, fine-tune, and evaluate ML/LLM models for classification, prediction, or recommendation tasks. 

o  Implement prompt engineering, embeddings, and RAG (retrieval-augmented generation) systems. 

Deployment & Scaling

o  Containerize and deploy models using Docker, FastAPI, or similar frameworks. 

o  Optimize model performance and cost on cloud platforms (AWS/GCP/Azure). 

Collaboration

o  Work closely with data engineers, analysts, and product teams to translate business problems into AI solutions. 

o  Participate in code reviews, testing, and documentation. 

Required Skills & Qualifications

Python

LLM frameworks

·      Experience in building APIs and integrating AI models into production workflows. 

SQL

cloud platforms

·      Strong problem-solving skills and ability to work in a fast-paced, evolving environment. 

Good to Have

performance marketing data, pricing, or sales analytics

MLOps practices

prompt engineering and evaluation metrics for LLMs

·      Open-source contributions or projects showcasing AI/agent development. 

Education

Computer Science, Data Science, AI/ML, or related field

Why Join Us?

AI agent and automation solutions

·      Opportunity to shape AI-driven products that directly impact global brands. 

·      Collaborative startup culture with space to experiment, learn, and grow. 

Interested Candidate can share their resume to hr@trailytics.com